Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/882
Title: A new perspective to stress-strength models
Authors: Eryılmaz, Serkan
Keywords: Minimum variance unbiased estimator
Multi-state system
Stress-strength reliability
Reliability
Systems
Publisher: Springer Heidelberg
Abstract: The stress-strength models have been widely used for reliability design of systems. In these models the reliability is defined as the probability that the strength is larger than the stress. The analysis is then based on the binary reliability theory since there are two possible states for the system. In this paper, we study the stress-strength reliability in a different framework assigning more than two states to the system depending on the difference between strength and stress values. In other words, the stress-strength reliability is studied under multi-state system modeling. System state probabilities are evaluated and estimated under various assumptions on the system. The multicomponent form is also studied and some results are provided for large systems.
URI: https://doi.org/10.1007/s10463-008-0211-3
https://hdl.handle.net/20.500.14365/882
ISSN: 0020-3157
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
882.pdf
  Restricted Access
175.13 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

SCOPUSTM   
Citations

37
checked on Oct 2, 2024

WEB OF SCIENCETM
Citations

35
checked on Oct 2, 2024

Page view(s)

58
checked on Sep 30, 2024

Download(s)

4
checked on Sep 30, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.